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Security for Machine Learning-based Software Systems: a survey of
  threats, practices and challenges
v1v2 (latest)

Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges

ACM Computing Surveys (ACM CSUR), 2022
12 January 2022
Huaming Chen
Muhammad Ali Babar
    AAML
ArXiv (abs)PDFHTML

Papers citing "Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges"

8 / 8 papers shown
ShadowLogic: Backdoors in Any Whitebox LLM
ShadowLogic: Backdoors in Any Whitebox LLM
Kasimir Schulz
Amelia Kawasaki
Leo Ring
AAML
293
0
0
01 Nov 2025
Large Language Models for Constructing and Optimizing Machine Learning
  Workflows: A Survey
Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey
Yang Gu
Hengyu You
Jian Cao
Muran Yu
Haoran Fan
Shiyou Qian
LM&MAAI4CE
475
17
0
11 Nov 2024
Machine Learning-Assisted Intrusion Detection for Enhancing Internet of
  Things Security
Machine Learning-Assisted Intrusion Detection for Enhancing Internet of Things Security
Mona Esmaeili
Morteza Rahimi
Hadise Pishdast
Dorsa Farahmandazad
Matin Khajavi
Hadi Jabbari Saray
381
5
0
01 Oct 2024
A Survey on Data Quality Dimensions and Tools for Machine Learning
A Survey on Data Quality Dimensions and Tools for Machine Learning
Yuhan Zhou
Fengjiao Tu
Kewei Sha
Junhua Ding
Haihua Chen
275
22
0
28 Jun 2024
On Security Weaknesses and Vulnerabilities in Deep Learning Systems
On Security Weaknesses and Vulnerabilities in Deep Learning Systems
Zhongzheng Lai
Huaming Chen
Ruoxi Sun
Yu Zhang
Minhui Xue
Dong Yuan
AAML
248
4
0
12 Jun 2024
Threats, Vulnerabilities, and Controls of Machine Learning Based
  Systems: A Survey and Taxonomy
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy
Yusuke Kawamoto
Kazumasa Miyake
K. Konishi
Y. Oiwa
289
5
0
18 Jan 2023
Requirements Engineering for Machine Learning: A Review and Reflection
Requirements Engineering for Machine Learning: A Review and Reflection
Zhong Pei
Lin Liu
Chen Wang
Jianmin Wang
VLM
278
38
0
03 Oct 2022
Thieves on Sesame Street! Model Extraction of BERT-based APIs
Thieves on Sesame Street! Model Extraction of BERT-based APIsInternational Conference on Learning Representations (ICLR), 2019
Kalpesh Krishna
Gaurav Singh Tomar
Ankur P. Parikh
Nicolas Papernot
Mohit Iyyer
MIACVMLAU
669
240
0
27 Oct 2019
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